Hadamard Split imaging method plugin for ONE-PIX
Project description
HadamardSplit
Overview
The Hadamard Split method is a classical single-pixel imaging technique that uses Hadamard patterns generated from an unstructured matrix as an orthogonal basis, combined with a splitting method. These patterns are binary (black and white), which means they do not require grayscale projection.
| Development Status | Technique Specificity | Measurement Output Format | Example Patterns |
|---|---|---|---|
| Functional and final | Classical SPI, binary patterns | Datacube | |
install
tested with python 3.9
pip install onepix_hadamardsplit
🔗 Source Code
📁 Access the source code on GitHub:
👉 ONE-PIX – HadamardSplit Imaging Method
🧪 Author & Contributor
🔧 Made by POP 💡
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file onepix_hadamardsplit-0.1.0.tar.gz.
File metadata
- Download URL: onepix_hadamardsplit-0.1.0.tar.gz
- Upload date:
- Size: 4.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9f6b4ec82f9855441d0e062d0f197978c230f6f80cc14ba0a931c5f86825b83
|
|
| MD5 |
07bb99a357d8eb5fce8cc0d00b033e73
|
|
| BLAKE2b-256 |
9d556beee4c578ebe8e2f0c374153d67d262b452b54c69104a244e91f00915fd
|
File details
Details for the file onepix_hadamardsplit-0.1.0-py3-none-any.whl.
File metadata
- Download URL: onepix_hadamardsplit-0.1.0-py3-none-any.whl
- Upload date:
- Size: 5.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.9.23
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
00ff6d4ddc6b02cffe7165cc86e374f7b6bad455e72916eb7bc8d9fd639179fc
|
|
| MD5 |
353fd1d36e8ea28cffcd167642919f00
|
|
| BLAKE2b-256 |
73a341ffcedd7fb0f42da88edf023e6b3ac05c72e368d7bde4f5ab61249ac9c5
|